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Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection

Overview of attention for article published in Journal of Translational Medicine, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection
Published in
Journal of Translational Medicine, June 2021
DOI 10.1186/s12967-021-02955-7
Pubmed ID
Authors

Xiawei Li, Litao Yang, Zheping Yuan, Jianyao Lou, Yiqun Fan, Aiguang Shi, Junjie Huang, Mingchen Zhao, Yulian Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Bachelor 2 9%
Student > Master 2 9%
Lecturer > Senior Lecturer 1 4%
Student > Ph. D. Student 1 4%
Other 3 13%
Unknown 11 48%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Computer Science 2 9%
Engineering 2 9%
Materials Science 1 4%
Other 1 4%
Unknown 12 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2021.
All research outputs
#13,226,909
of 23,308,124 outputs
Outputs from Journal of Translational Medicine
#1,524
of 4,114 outputs
Outputs of similar age
#183,756
of 442,459 outputs
Outputs of similar age from Journal of Translational Medicine
#25
of 101 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,459 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.